Triple

T20037778
Position Surface form Disambiguated ID Type / Status
Subject Schöneberg E497321 entity
Predicate hasNeighbourhood P4813 FINISHED
Object Friedenau NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Friedenau | Statement: [Schöneberg, hasNeighbourhood, Friedenau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Friedenau
Context triple: [Schöneberg, hasNeighbourhood, Friedenau]
  • A. Friedenau chosen
    Friedenau is a residential district in southwestern Berlin known for its historic architecture, leafy streets, and literary heritage.
  • B. Friedeberg
    Friedeberg is a historic town that served as one of the principal urban centers of the Neumark region in former Brandenburg, now located in western Poland.
  • C. Friedensau
    Friedensau is a small locality in the town of Genthin in Saxony-Anhalt, Germany, known for hosting the theological campus of Friedensau Adventist University.
  • D. Friedenweiler
    Friedenweiler is a small municipality in southwestern Germany’s Black Forest region, known for its forested landscapes and tranquil rural character.
  • E. Pohlheim
    Pohlheim is a small town in the German state of Hesse, located near the city of Gießen in central Germany.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69da627278c88190babe4297a9df1236 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e662e935ac8190900cdb4f0cfde505 completed April 20, 2026, 5:31 p.m.
Created at: April 11, 2026, 3:36 p.m.